saturosfz

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pba

Efficient Learning of Augmentation Policy Schedules

Language:Jupyter NotebookApache-2.050300

SoftRas

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

Language:PythonMIT121900

955.WLB

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

Language:PythonBSD-3-Clause131500

js_hijack

注入JS代码到微信浏览器

Language:JavaScript1600

LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

Language:Jupyter NotebookMIT137700

confidence_estimation

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Language:PythonNOASSERTION26500

CompositionalGAN

Compositional GAN: Learning Image-Conditional Binary Composition at IJCV 2020

Language:PythonNOASSERTION6200

insightface

State-of-the-art 2D and 3D Face Analysis Project

Language:Python2253400

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Language:C++Apache-2.0490500

MobileNet-V2-Pytorch

Model shared. Top1:71.806/Top5:90.410

Language:PythonBSD-2-Clause5800

ShuffleNet-1g8-Pytorch

Model shared. Top1:67.408/Top5:87.258

Language:PythonBSD-2-Clause4800

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Language:PythonMIT259400

Net-Trim

The latest version of Net-Trim which solves the actual constrained problem

Language:Python2400

sparse-winograd-cnn

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

Language:PythonMIT18900

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Language:Jupyter NotebookMIT145500

tensorflow-eager-tutorials

Simple tutorials for building neural networks with TensorFlow Eager mode.

Language:Jupyter Notebook50900

personalizedImageAesthetics

[ICCV 2017] Personalized Image Aesthetics

Language:Python3800

MegaDepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

Language:PythonMIT72200

Pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

Language:Jupyter NotebookApache-2.088500

Pix2Depth

DEPRECATED: Depth Map Estimation from Monocular Images

Language:PythonGPL-3.035400

faceswap-GAN

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Language:Jupyter Notebook336500

sngan_projection

GANs with spectral normalization and projection discriminator

Language:PythonNOASSERTION107900

attention-guided-sparsity

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Language:PythonMIT2900

CompositeFocusMeasures

iOS app for Depth from focus using composite focus measures (http://openaccess.thecvf.com/content_ICCV_2017/papers/Sakurikar_Composite_Focus_Measure_ICCV_2017_paper.pdf)

100

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

Language:PythonMIT764700

In-Prestissimo

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

Language:C++NOASSERTION26900

AdamW-and-SGDW

Decoupled Weight Decay Regularization (ICLR 2019)

Language:LuaBSD-3-Clause25900

DNNLibrary

Daquexian's NNAPI Library. ONNX + Android NNAPI

Language:C++Apache-2.034600

PytorchConverter

Pytorch model to caffe & ncnn

Language:PythonBSD-2-Clause39300